Методология и логика социологического исследования

2024/2025

Статус: Маго-лего

Кто читает: Международная лаборатория прикладного сетевого анализа

Когда читается: 3 модуль

Охват аудитории: для своего кампуса

Преподаватели: Михайлова Оксана Рудольфовна

Язык: русский

Кредиты: 3

Дополнительные материалы в LMS Задать вопрос

Аннотация

The purpose of the course is to provide insight into the main stages of the development of sociological research and to offer practically useful tools and approaches. The course will be useful for those who do not have special training in empirical sociological research, but they need to work with research data, evaluate the validity of research project conclusions, and make decisions based on confirmed or unconfirmed hypotheses. The course presents conceptual and operational definitions and their relations to one another, how variables are expressed distinctively, and how to formulate hypotheses that back up scientific findings. Additionally, the course examines the possibilities of AI agents for use at different stages of sociological research. It is based on the principle that we think first, then use the capabilities of AI. Students will be asked to try out a particular tool and method for solving typical practical tasks of a researcher. Students will work on their own research issues throughout the course to apply the theoretical understanding to their practical applications.

Цель освоения дисциплины

Goal 1. To master the foundational epistemology and internal logic of social research design. This goal aims at developing a comprehensive understanding of the goals and functions of social research, enabling students to deconstruct the logical sequence of the research process from problem formulation to operationalization and measurement. Students will learn to critically appraise the internal coherence of published designs, explicitly differentiating between quantitative, qualitative, and mixed-methods architectures, and justifying methodological choices based on ontological and epistemological grounds rather than convenience.
Goal 2. To acquire advanced competencies in systematic literature synthesis. This goal aims at equipping master students in data analytics with rigorous, replicable methods for navigating, mapping, and synthesizing existing knowledge. This includes executing bibliometric network analyses (using OpenAlex and library science tools) to identify intellectual frontiers, and applying the statistical logic of meta-analysis in R (effect sizes, heterogeneity, publication bias) in strict adherence to PRISMA guidelines, thereby transforming scattered literature into a defensible, quantitative foundation for new research.
Goal 3. To equip the students with rigorous empirical strategies for sampling, data preprocessing, and methodological alignment. This goal aims at building understanding and practical proficiency in constructing a complete empirical blueprint (formulating coherent data-collection protocols that strategically align sampling strategies, specifying transparent data-preprocessing routines to address missing data and measurement errors). This goal ensures that every empirical decision is logically linked to the overarching research design.
Goal 4. To develop cultivate persuasive scientific communication and critical digital methodological literacy. This goal aims at preparing students to synthetically translate complex empirical findings into compelling, logically structured scientific presentations that clearly bridge "results" with "meaning", while defending their entire research architecture against peer-review scrutiny. Additionally, this goal assumes developing skills of machine-human digital communications through reasonable and justified use of AI services assisting in scientific research.

Планируемые результаты обучения

Names three types of sociological discourse.
Explains the language of sociological research.
Names the steps of measurement procedure in sociology.
Describes the theories of measurement in sociology.
Differentiates between the methods of theory construction in sociological research.
Applies the principles of sociological study design in empirical studies.

Содержание учебной дисциплины

3. Sampling as the basis of reasoning about the research logic.
2. AI as a partner for the researcher
1. The methodology and logic of empirical sociological research. The main epistemic issues.

Элементы контроля

Participation in class activities
Reconstruction of study logic (article analysis)

Промежуточная аттестация

2024/2025 3rd module
0.4 * Participation in class activities + 0.6 * Reconstruction of study logic (article analysis)

Список литературы

Авторы

Михайлова Оксана Рудольфовна
Павлова Ирина Анатольевна

Программа дисциплины